#132210 - AI Platform Technical Lead

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We are seeking a hands-on AI Platform Technical Lead to serve as the technical owner for a general-purpose, AI-enabled enterprise collaboration ecosystem. This role will design, build, integrate, operate, and improve production AI agents, reusable skills, workflows, search capabilities, and enterprise AI platform integrations.

The ideal candidate combines deep applied AI engineering experience with practical enterprise platform and systems-administration knowledge. This is a hands-on individual contributor leadership role with no direct reports. You will lead through technical expertise and influence by establishing standards, mentoring other contributors, reviewing technical solutions, and serving as a senior escalation point.

Enterprise experience strongly preferred.

Key Responsibilities

* Design, build, test, deploy, and maintain production-quality AI agents, skills, prompts, tools, workflows, assistants, and automations.
* Build AI solutions using Model Context Protocol (MCP), function calling, APIs, agent frameworks, and integration technologies.
* Translate business requirements into technical designs, prototypes, and stable production-ready AI capabilities.
* Build secure integrations across collaboration, productivity, search, AI assistant, and enterprise systems.
* Develop APIs, data connectors, webhooks, search integrations, retrieval-augmented generation solutions, and semantic-search capabilities.
* Ensure AI systems preserve source-system permissions, access controls, data-security requirements, and governance policies.
* Design and evaluate grounding, citation, memory, retrieval, and context-management approaches for AI applications.
* Test and evaluate AI solutions for quality, reliability, safety, performance, grounding, and production readiness.
* Administer and optimize enterprise AI platforms, including access, configuration, integrations, monitoring, and lifecycle management.
* Troubleshoot complex AI platform, integration, connector, identity, search, and data-retrieval issues.
* Establish reusable technical standards and patterns for AI agents, integrations, configurations, testing, deployment, and security.
* Lead technical solution reviews and provide technical guidance and mentoring to other administrators and engineers.
* Serve as a senior technical escalation point for complex AI platform and integration issues.
* Evaluate emerging AI capabilities and provide technical recommendations to platform leadership.

Must-Have Skills

* Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations.
* Strong understanding of AI application concepts including agents and agentic workflows, skills and tools, function calling, Model Context Protocol, prompt and context design, retrieval-augmented generation, enterprise search, and data connectors.
* Strong understanding of grounding, citations, memory, context management, model and agent evaluation, AI safety, and access controls.
* Proven ability to move AI solutions from proof of concept to stable, supportable production services.
* Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms.
* Working knowledge of enterprise security, privacy, compliance, and data-governance principles.
* Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms.
* Practical experience with several enterprise collaboration and AI platforms such as Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products.
* Strong systems-administration knowledge including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management.
* Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills.
* Ability to lead technically through expertise and influence without direct people-management authority.

Nice-to-Have Skills

* Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers.
* Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability.
* Software development experience with Python, TypeScript, JavaScript, or similar languages.
* Experience creating MCP servers or integrating MCP-compatible clients and tools.
* Experience operating an enterprise AI platform or supporting an internal AI enablement program.
* Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies.

Required Tools & Platforms

* Practical experience with several of the following or comparable enterprise products: Slack, Google Workspace, Gemini for Workspace, Glean, Claude, and ChatGPT.
* Hands-on experience with AI integration patterns involving MCP, function calling, APIs, SDKs, webhooks, enterprise search, data connectors, and identity services.

Location, Time & Engagement

* Remote contract engagement.
* Candidates must be located in the United States or LATAM, excluding Mexico.
* Central Time working-hour overlap is preferred.
* Full-time allocation of approximately 40 hours per week.
* Expected engagement through March 31, 2027.
* This is an individual contributor technical leadership role with no direct reports.

我们正在寻找一位具备实战能力的AI平台技术负责人，担任通用型、AI赋能的企业协作生态系统的技术负责人。该角色将设计、构建、集成、运营和改进生产级AI代理、可复用技能、工作流、搜索能力以及企业AI平台集成。

理想的候选人应兼具深厚的应用AI工程经验与实用的企业平台及系统管理知识。这是一个 hands-on 的个人贡献者领导角色，无直接下属。您将通过技术专长和影响力来领导团队，建立标准、指导其他贡献者、审查技术方案，并担任高级升级支持点。

强烈优先考虑具备企业经验的候选人。

关键职责

* 设计、构建、测试、部署和维护生产级质量的AI代理、技能、提示词、工具、工作流、助手和自动化。
* 使用Model Context Protocol (MCP)、function calling、API、agent框架和集成技术构建AI解决方案。
* 将业务需求转化为技术设计、原型和稳定、可投入生产的AI能力。
* 在协作、生产力、搜索、AI助手和企业系统之间构建安全集成。
* 开发API、数据连接器、webhook、搜索集成、检索增强生成解决方案和语义搜索能力。
* 确保AI系统保留源系统权限、访问控制、数据安全要求和治理策略。
* 设计和评估AI应用的 grounding、引用、记忆、检索和上下文管理方法。
* 测试和评估AI解决方案的质量、可靠性、安全性、性能、grounding和生产就绪度。
* 管理和优化企业AI平台，包括访问、配置、集成、监控和生命周期管理。
* 排查复杂的AI平台、集成、连接器、身份、搜索和数据检索问题。
* 为AI代理、集成、配置、测试、部署和安全建立可复用的技术标准和模式。
* 主导技术方案审查，并为其他管理员和工程师提供技术指导和辅导。
* 作为复杂AI平台和集成问题的高级技术升级支持点。
* 评估新兴AI能力，并向平台领导层提供技术建议。

必备技能

* 具备构建和维护生产级质量AI代理、技能、助手、工作流或集成的 demonstrated 经验。
* 深入理解AI应用概念，包括代理和代理工作流、技能和工具、function calling、Model Context Protocol、提示词和上下文设计、检索增强生成、企业搜索和数据连接器。
* 深入理解grounding、引用、记忆、上下文管理、模型和代理评估、AI安全和访问控制。
* 具备将AI解决方案从概念验证推进到稳定、可支持的生产服务的 proven 能力。
* 具备通过API、SDK、webhook、身份服务或自动化平台集成系统的经验。
* 具备企业安全、隐私、合规和数据治理原则的 working knowledge。
* 具备管理或工程化企业SaaS、协作、生产力、搜索、自动化或AI平台的大量 hands-on 经验。
* 具备多个企业协作和AI平台的实践经验，如Slack、Google Workspace、Gemini for Workspace、Glean、Claude、ChatGPT或类似企业AI产品。
* 强大的系统管理知识，包括身份和访问管理、基于角色的权限、配置管理、日志记录、监控、事件响应和变更管理。
* 强大的故障排查、技术写作、架构文档和利益相关者沟通能力。
* 能够通过专业知识和影响力进行技术领导，而无需直接的人员管理权限。

加分技能

* 具备单点登录、SCIM配置、OAuth、服务账户、委托授权和企业身份提供商的经验。
* 熟悉云平台、基础设施即代码、源代码控制、CI/CD、密钥管理和可观测性。
* 具备Python、TypeScript、JavaScript或类似语言的软件开发经验。
* 具备创建MCP服务器或集成MCP兼容客户端和工具的经验。
* 具备运营企业AI平台或支持内部AI赋能计划的经验。
* 熟悉负责任AI实践、AI安全框架以及模型或代理评估方法。

所需工具与平台

* 具备以下多个或类似企业产品的实践经验：Slack、Google Workspace、Gemini for Workspace、Glean、Claude和ChatGPT。
* 具备涉及MCP、function calling、API、SDK、webhook、企业搜索、数据连接器和身份服务的AI集成模式的 hands-on 经验。

地点、时间与聘用方式

* 远程合同聘用。
* 候选人必须位于美国或拉丁美洲（LATAM），不包括墨西哥。
* 优先考虑与中部时间有工作时段重叠。
* 全职投入，每周约40小时。
* 预计聘用期至2027年3月31日。
* 这是一个个人贡献者技术领导角色，无直接下属。

⚑ 岗位信息收录自公开招聘页（ATS 官方），以雇主官网为准